West Hertfordshire Hospitals NHS Trust, Watford, UK
West Hertfordshire Hospitals NHS Trust, Watford, UK.
BMJ Open. 2022 Dec 20;12(12):e054469. doi: 10.1136/bmjopen-2021-054469.
Prospectively validate prognostication scores, SOARS and 4C Mortality Score, derived from the COVID-19 first wave, for mortality and safe early discharge in the evolving pandemic with SARS-CoV-2 variants (B.1.1.7 replacing D614) and healthcare responses altering patient demographic and mortality.
Protocol-based prospective observational cohort study.
Single site PREDICT and multisite ISARIC (International Severe Acute Respiratory and Emerging Infections Consortium) cohorts in UK COVID-19 second wave, October 2020 to January 2021.
1383 PREDICT and 20 595 ISARIC SARS-CoV-2 patients.
Relevance of SOARS and 4C Mortality Score determining in-hospital mortality and safe early discharge in the evolving UK COVID-19 second wave.
1383 (median age 67 years, IQR 52-82; mortality 24.7%) PREDICT and 20 595 (mortality 19.4%) ISARIC patient cohorts showed SOARS had area under the curve (AUC) of 0.8 and 0.74, while 4C Mortality Score had AUC of 0.83 and 0.91 for hospital mortality, in the PREDICT and ISARIC cohorts respectively, therefore, effective in evaluating safe discharge and in-hospital mortality. 19.3% (231/1195, PREDICT cohort) and 16.7% (2550/14992, ISARIC cohort) with SOARS of 0-1 were candidates for safe discharge to a virtual hospital (VH) model. SOARS implementation in the VH pathway resulted in low readmission, 11.8% (27/229) and low mortality, 0.9% (2/229). Use to prevent admission is still suboptimal, as 8.1% in the PREDICT cohort and 9.5% in the ISARIC cohort were admitted despite SOARS score of 0-1.
SOARS and 4C Mortality Score remains valid, transforming complex clinical presentations into tangible numbers, aiding objective decision making, despite SARS-CoV-2 variants and healthcare responses altering patient demographic and mortality. Both scores, easily implemented within urgent care pathways for safe early discharge, allocate hospital resources appropriately to the pandemic's needs while enabling normal healthcare services resumption.
前瞻性验证 COVID-19 第一波衍生的预后评分(SOARS 和 4C 死亡率评分)在 SARS-CoV-2 变体(B.1.1.7 取代 D614)和医疗保健反应改变患者人口统计学特征和死亡率的不断演变的大流行中对死亡率和安全提前出院的预测能力。
基于方案的前瞻性观察队列研究。
英国 COVID-19 第二波的 PREDICT 单站点和 ISARIC(国际严重急性呼吸和新兴感染联合会)多站点队列,时间为 2020 年 10 月至 2021 年 1 月。
1383 名 PREDICT 和 20595 名 ISARIC SARS-CoV-2 患者。
SOARS 和 4C 死亡率评分在不断演变的英国 COVID-19 第二波中预测住院死亡率和安全提前出院的相关性。
1383 名(中位年龄 67 岁,IQR 52-82;死亡率 24.7%)PREDICT 和 20595 名(死亡率 19.4%)ISARIC 患者队列显示 SOARS 的曲线下面积(AUC)分别为 0.8 和 0.74,而 4C 死亡率评分分别为 0.83 和 0.91,因此在 PREDICT 和 ISARIC 队列中对评估安全出院和住院死亡率有效。SOARS 评分为 0-1 的 19.3%(231/1195,PREDICT 队列)和 16.7%(2550/14992,ISARIC 队列)是虚拟医院(VH)模型安全出院的候选者。SOARS 在 VH 途径中的实施导致再入院率低,11.8%(27/229)和死亡率低,0.9%(2/229)。尽管 SARS-CoV-2 变体和医疗保健反应改变了患者的人口统计学特征和死亡率,但由于评分 0-1 的情况下仍有 8.1%的患者被收治入院,其应用于预防入院的效果仍不理想。
尽管 SARS-CoV-2 变体和医疗保健反应改变了患者的人口统计学特征和死亡率,但 SOARS 和 4C 死亡率评分仍然有效,将复杂的临床表现转化为具体数字,有助于客观决策。这两个评分易于在紧急护理途径中实施以实现安全提前出院,适当分配医院资源以满足大流行的需求,同时恢复正常的医疗服务。